Adopt AI safely across scaffolding, testing, and reviews.
Use AI to build scaffolds, propose refactors, write missing tests, and draft docs. Humans still own architecture and correctness, but the grind work disappears.
Include your ESLint/Prettier, framework conventions, and security policies in the prompt. Ask the model to **explain** why its change is safe and how to test it.
Do a first pass with the assistant, then a human pass. Add visual regression and API contract tests to catch subtle breakage that unit tests miss.
Feed logs and stack traces to the assistant. Ask for hypotheses ranked by likelihood and a minimal repro script. Keep a paper trail in the PR for later audits.
Strip secrets from prompts and sanitize data. Generate SBOMs per release and scan for license risk and known CVEs, especially when code is AI-generated.
Measure the pipeline: lead time to change, change failure rate, and mean time to restore. AI is a success when these trend down, not when lines of code go up.